Titlebook: Artificial Intelligence in Medicine; 9th Conference on Ar Michel Dojat,Elpida T. Keravnou,Pedro Barahona Conference proceedings 2003 Spring

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書目名稱Artificial Intelligence in Medicine讀者反饋學科排名

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DEGEL: A Hybrid, Multiple-Ontology Framework for Specification and Retrieval of Clinical Guidelinesreasingly sophisticated computational tasks. All tools are designed to operate on all representations. We demonstrated the feasibility of the architecture and the tools for the Asbru and GEM guideline ontologies.

AWE

On-Line Extraction of Successive Temporal Sequences from ICU High-Frequency Data for Decision Suppor are expressions such as: “the systolic blood pressure is steady at 120mmHg from time .. until time ..; it is increasing from 120 mmHg to 160mmHg from time .. to time .. ...”. The method uses a segmentation algorithm that was developed previously and a classification of the segments into temporal pa

松軟

Quality Assessment of Hemodialysis Services through Temporal Data Miningalysis service on the basis of time series data automatically collected during the monitoring of hemodialysis sessions. While simple statistical summaries are computed to assess basic outcomes, Intelligent Data Analysis and Temporal Data mining techniques are applied to gain insight and to discover

Foam-Cells

Idan: A Distributed Temporal-Abstraction Mediator for Medical Databasesonic patients. It is highly desirable to assist human users (e.g., clinicians, researchers), or decision support applications (e.g., diagnosis, therapy, quality assessment), who need to interpret large amounts of time-oriented data by providing a useful method for . not only ., but also its .. A . i

使迷醉

Prognosis of Approaching Infectious Diseasesn and Case-based Reasoning. In our current project we apply very similar ideas. The goal of the TeCoMed project is to compute early warnings against forthcoming waves or even epidemics of infectious diseases in the German federal state of Mecklenburg-Western Pomerania. Furthermore, these warnings sh

chemical-peel

NEONATE: Decision Support in the Neonatal Intensive Care Unit – A Preliminary Reportls which will draw the attention of nursing and clinical staff to situations where specific actions should be taken or avoided. We have collected over 400 patient-hours of data on 31 separate babies, including physiological parameters sampled every second, observations made by a research nurse of al

協(xié)定

極端的正確性

How to Represent Medical Ontologies in View of a Semantic Web?nts. This paper aims at contributing to this question in evaluating two presently available languages, Protégé and DAML+OIL, on an actual ontology under development, the brain cortex ontology. It draws conclusions on their expressiveness, compares it to other ontology languages, in particular to the

hallow

Using Description Logics for Managing Medical Terminologiesa means to verify and maintain the consistency and correctness of their contents. This is important for their management as well as for providing their users with confidence about the validity of their contents. In this paper we describe a method for the detection of modeling errors in a terminologi